Skill UI

Automates the creation of Ansible playbooks in advanced DevOps workflows by triggering whenever users mention the generator and offering best-practice guidance, production-ready code, and validation for IaC, Kubernetes, Terraform, and CI/CD stacks.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

Guides multi-step deliveries by linking Antigravity skills into workflows for SaaS MVP launches, security audits, AI agent systems, and browser QA, recommending best-fit playbooks and verifying each artifact.

Designs and executes chaos experiments, failure-injection frameworks, and game days for distributed systems, providing runbooks, manifests, rollback plans, and continuous resilience automation in CI/CD.

Transforms detailed user requirements into secure, production-ready Ansible playbooks that automate server configuration, software deployments, and infrastructure workflows across multiple platforms for repeatable DevOps operations.

A comprehensive toolkit for advanced debugging and systematic incident response within Customer.io. It provides structured playbooks, API debug clients, and investigation scripts to diagnose complex delivery issues, analyze user profiles, or troubleshoot campaign failures, ensuring robust incident management.

This skill provides a comprehensive, multi-phase guided workflow for professional incident response management. Following modern SRE principles and the Incident Command System (ICS), it guides users from initial detection and triage (P0-P3 classification) through deep investigation (observability, debugging, security checks), culminating in structured resolution and post-mortem analysis. Use this when managing critical system outages or performance degradation.

A structured playbook for rapidly diagnosing and resolving production incidents related to Lokalise localization services. It guides users through essential quick diagnostics (API health, token validity, rate limits) and provides a decision tree for common failure modes, such as missing or stale translations, API outages, and upload failures, ensuring swift mitigation and postmortem readiness.

Optimizes Astro projects with critical CSS inlining, asset compression, font-loading tweaks, third-party deferment, and LCP/image preload strategies aimed at sustaining 95+ Lighthouse scores.

Provides a comprehensive pytest-focused testing strategy for Python applications, covering TDD cycles, fixtures, parametrization, coverage tools, and test infrastructure setup for reliable suites.

Provides reusable Redis patterns for caching, rate limiting, pub/sub, streams, Lua scripts, and distributed locking to build scalable, resilient data services.

Guides teams through the security incident response lifecycle by classifying attacks, generating containment/remediation playbooks, directing evidence collection, and coordinating post-incident follow-up to minimize damage.